Computational mechanics seeks to develop new, computer-aided methods for predicting physical phenomenon important to engineering. We leverage the resources of the parallel computing cluster maintained by Advanced Research Computing at U-M to perform large scale computations.
We use multi-scale computational methods to research questions ranging from the molecular basis of soot formation in combustion to the manner in which molecular-level defects affect macroscopic mechanical properties. These methods focus on predicting the mechanical, electrical, and optical behavior of materials and structures from smaller scale models in an accurate and reliable way. This can also involve quantum-mechanical calculations or complex substructure models.
- Simulation of turbulence
- Structural health monitoring and biodynamics
- Biomechanics and electroacoustics
- Phononic material design and computational mechanics
- Combustion and reacting flows
- Computational fluid dynamics
- Optimization and homogenization methods
- DNA mechanics and dynamics
- Computational physics
- Computational materials physics